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This year’s RSA Conference was buzzing. Everywhere you turned, thought-provoking discussions on the security industry’s biggest challenges were taking place. Although the seriousness of this past year’s proliferation of cyberattacks hung in the air, there was no doubt that the mood was upbeat and there was a lot of positive momentum. After taking a breath to process the content and conversations…

What can we learn from our mistakes in automation and what’s in store for this trend in the future? In 2017 we saw plenty of attacks using a wide variety of methods, striking hard against the poorly-protected. We’re also seeing increasingly secure systems, with attacks that still manage to keep up. As much as our security has improved and continues to improve in line with increases in computing…

Machine learning and security are all the rage. With the RSA Conference a little more than 2 weeks away, there will be plenty of firms on the expo floor touting their security solutions based on AI, deep learning, and machine learning. In Machine Learning and Security: Protecting Systems with Data and Algorithms (O'Reilly Media 978-1491979907), authors Clarence Chio and David Freeman have written…

Although they’ve been on the security radar for years, Botnets have not gone away. Bots lurking on devices are trained to find valuable data like credit cards, logins, or credentials for financial transactions, and quietly exfiltrate them for monetization. Bot malware spreads randomly using software flaws or social engineering and attackers always want to maximize their ROI. Contemporary botnets…

It’s hard to ignore that machine learning has taken over much of the discourse in today’s technology circles. It wasn’t that long ago that you needed IBM’s Deep Blue to beat a human at chess. Now there are few games that a computer has not bested humans at. Whether it’s Google’s AlphaGo and Go, Elon Musk’s OpenAI and DOTA, or Libratus built by a pair of researchers to beat the best at no-limit Texas…